I automate business ops with teams of AI agents to help you scale w/o increasing overhead | Top Artificial Intelligence Voice | AI Consultant | Founder at Synthoria Labs

Most B2B founders and consultants are not spending enough time on revenue generating activities.

This is because they rely too heavily on the old way of doing everything manually.

So their days are filled with:

→ Managing their pipeline, trying to nurture every lead before they go cold
→ Sifting through Sales Nav, reading endless profiles to build a perfectly targeted list
→ Piecing together contracts/proposals for every client
→ Training yet another employee to try and pick up the slack

How can you focus on growth when 60% of your time is taken up by mind-numbing busywork?

The cycle continues..

Sleepless nights worrying about customer churn rates.

Laying awake wondering if their pipeline will dry up.

It doesn't have to be this way

All of this goes away with an AI Implementation Strategy

And no, I don't mean copying and pasting prompts into ChatGPT hoping it will save you.

Here's my 3 step strategy to reclaim 15 hours every week:

1) Streamlined Sales Funnel System
2) Client Relation Autopilot
3) Internal Productivity optimizer

You don't need more employees. You need the right systems that empower your current team to produce twice the results

...in half the time.

You'll eliminate 60% of the mind numbing work that's holding you back from substantial growth.

The stress of juggling a million tasks is gone, you focus on revenue generating activities, your employees thank you

Join the top 1% of founders leveraging automations to become a business of the future

Check my featured section to see see how you can do it too

Jake George

The AI Educator | Keeping YOU educated on AI tools & trends!

Started as a full-stack developer, spent over a decade building and scaling digital products.

Co-founded Mindstream, a newsletter about AI and emerging tech. Scaled it fast — and it was acquired by HubSpot. That journey taught me how powerful automation, content, and timing can be when combined with the right systems.

Next came an AI-first eCommerce brand. Built from zero to 7-figures in annual revenue within 6 months using lean automation, smart data, and zero fluff.

On a path to 8-figures! And when I get there, I’ll share everything I’ve learned about AI, automation, and scaling systems publicly.

Also, building Autonoza. A boutique AI automation agency helping companies replace manual, repetitive work with intelligent, integrated systems. Real results. Real leverage.

No hype. No shortcuts. Just practical, intelligent automation that turns insight into impact.

Matic Pogladic

You’re wasting hours chasing growth the hard way. 

ChatGPT can help you. 

Here are 10 ChatGPT prompts that will help you grow faster than your competitors.

1. Customer Persona Builder

Prompt: You are my business strategy consultant. I run a [describe your business: e.g., SaaS tool for small businesses, fitness coaching program, e-commerce store]. Create 3 detailed customer personas for me. For each persona, include: demographic details (age, gender, location, income), psychographics (values, lifestyle, aspirations), pain points, buying triggers, objections, and preferred content/communication channels. Present the output in a structured table so I can compare personas easily.

2. Market Research Deep Dive

Prompt: You are a market research analyst. Research the [specific industry/niche, e.g., AI marketing tools, sustainable fashion, online fitness coaching] market for 2025. Provide a structured analysis that covers: total market size, CAGR (compound annual growth rate), top competitors, pricing benchmarks, emerging trends, customer expectations, and untapped opportunities. Conclude with actionable recommendations on how my business can position itself competitively in this market.

3. Competitor SWOT Analyzer

Prompt: You are a competitive intelligence expert. Analyze my competitor [insert competitor name/brand] using a SWOT framework (Strengths, Weaknesses, Opportunities, Threats). Focus especially on their marketing strategy, pricing, customer engagement tactics, and product positioning. Then, create a counter-strategy for my business [insert your brand name] that highlights how I can differentiate and gain market share.

4. Offer Design and Pricing Strategy

Prompt: You are a growth strategist. I currently offer [describe product/service]. Design a tiered pricing strategy with 3 levels (entry, core, premium). For each tier, outline pricing, included features, target customer segment, and psychological positioning (value perception, scarcity, anchoring effect). Include real-world examples of businesses that successfully use similar models. End with your recommendation on which pricing tier to emphasize for maximum revenue growth.

5. High-Impact Marketing Funnel Blueprint

Prompt: You are a digital marketing architect. Create a full marketing funnel for my business [describe business]. The funnel should include: awareness stage (ad angles, content hooks, SEO keywords), engagement stage (lead magnets, nurture emails, retargeting ads), conversion stage (sales page framework, urgency triggers, testimonials), and retention stage (loyalty programs, upsells, referral campaigns). Present the funnel as a step-by-step plan with clear actions I can implement.

To get more ChatGPT prompts for business growth,
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AI and tech entrepreneur turning insight into impact | Ex. Co-Founder, Mindstream (acquired by HubSpot)

ChatGPT Prompts For Business Growth

Perplexity is a powerful AI assistant. 

But I’m sad most people use it for limited use cases. 

Here are 10 Perplexity AI prompts that will make work feel like a breeze: 

Do’s of using Perplexity AI: 
✅ Clearly define what you want from AI.
✅ Offer background information to help AI understand the task.
✅ Use the right AI model for the right task. 
✅ Use follow-up questions to clarify outputs. 
✅ Use Perplexity Discover to get latest updates 
✅ Use Perplexity Page to find accurate and concise answers to queries by using AI-driven search and summarization capabilities 
✅ Use Perplexity Spaces as an AI collaboration hub to organize research threads and files by project. 

Don’ts of using Perplexity AI: 
❎ Avoid unclear or ambiguous instructions.
❎ Don’t stick to multiple outputs from a prompt.
❎ Don’t forget to provide background details.
❎ Don’t stop following up until you get the perfect output.
❎ Don’t forget to try the different modes like web, academic, and social.  

Do you use Perplexity AI? 
Let me know in the comments 👇 

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Perplexity AI Prompts To Be Productive At Work

Most founders think they need more funding.

What they really need is a sharper strategy.

Here are 10 ChatGPT prompts for effective business strategy.

1. Business Model Innovation

Prompt: Act as a senior strategy consultant. Analyze my business model using the Business Model Canvas framework. My business is [insert business type/industry]. Suggest at least 3 innovative pivots or improvements in value proposition, customer segments, or revenue streams that align with current market trends in [insert region/market]. Present your output in a structured Business Model Canvas format with bullet points under each section.

2. Competitive Analysis Deep Dive

Prompt: You are my competitive intelligence analyst. Research the top 5 competitors of [insert company/business/industry]. For each competitor, provide: their positioning, pricing strategy, distribution channels, customer acquisition approach, strengths, weaknesses, and unique differentiators. Then, give me a competitor gap analysis table that highlights opportunities I can exploit.

3. SWOT + TOWS Strategic Planner

Prompt: Perform a SWOT analysis for my company [insert company or industry details]. After the SWOT, create a TOWS matrix showing specific strategies that connect strengths to opportunities, strengths to threats, weaknesses to opportunities, and weaknesses to threats. Provide clear action recommendations under each category.

4. Market Entry Strategy

Prompt: I want to expand into [insert target market/region]. Design a full market entry strategy. Include: (a) market sizing and growth rate, (b) cultural/economic/regulatory barriers, (c) competitor landscape, (d) pricing and positioning recommendations, (e) potential distribution or partnership channels. Present your findings as a phased go-to-market plan with milestones and KPIs.

5. Blue Ocean Strategy Designer

Prompt: Use the Blue Ocean Strategy framework to help me create uncontested market space in [insert industry]. Identify which customer pain points are underserved, suggest elements I should eliminate/reduce/raise/create in the value curve, and draft a one-page strategic canvas comparing my offering against current players. Conclude with 3 potential blue ocean opportunities.

If you want to get more prompts for business strategy,
Check the carousel below 👇 

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ChatGPT Prompts For Effective Business Strategy

Most people waste months waiting for the “perfect” idea. 

Smart founders test dozens in minutes.

Here are 10 ChatGPT prompts that will help you with business idea research.

1. Market Opportunity Scan

Prompt: Act as a business analyst. Research [insert industry/niche, e.g., sustainable skincare] and identify 5–7 underserved customer segments. For each segment, analyze their pain points, spending behavior, current solutions they use, and the gaps that exist. Then suggest potential business ideas that solve those gaps, explaining why these ideas could succeed given market trends.

2. Competitor Deep Dive

Prompt: Perform a competitor analysis for [insert product/service idea] in [insert target market/country]. Identify the top 5 competitors, summarize their positioning, pricing, marketing channels, and customer reviews. Then provide a comparison table highlighting where they are strong and weak. Based on that, recommend 3 differentiator ideas I could build into my business.

3. Trend Validation

Prompt: Search across recent global market reports, startup launches, and investor trends in [insert industry, e.g., AI-powered education tools]. Summarize the top 5 emerging trends. For each, explain if it's hype-driven or backed by sustainable demand. End with a judgment on whether building a business in this space right now is high, medium, or low opportunity, and why.

4. Business Model Exploration

Prompt: I want to explore business model options for [insert business idea, e.g., subscription-based meal kits for remote workers]. Lay out 5 different monetization models (e.g., SaaS, freemium, subscription, marketplace, one-time purchase). For each, explain the revenue streams, scalability potential, customer acquisition challenges, and approximate profitability timeline.

5. Customer Persona Builder

Prompt: Build 3 detailed customer personas for [insert business idea or niche]. For each persona, include demographics, psychographics, motivations, frustrations, preferred digital platforms, and buying triggers. Then suggest marketing angles, copy styles, and channels most likely to resonate with each persona.

What do you think of using ChatGPT for business idea research?
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ChatGPT Prompts For Researching Business Ideas

You’re not competing with other founders anymore.

You’re competing with founders who use AI.

Here are 18 steps entrepreneurs (like you) should take to work with AI.

1. Basics
Start by learning the basics of AI and being updated with everything happening in AI from an AI newsletter like Mindstream.

2. Explore AI Tools
Get to know about all the AI tools, their categories, and how they can help from a directory like Future Tools.

3. Explore AI Use Cases
Discover what kind of AI tools you can use, and how they can make your business processes more efficient.

4. Learn Prompting
Learn how to use AI models like ChatGPT, Claude, Grok, and Gemini, and how to get the best outputs from them.

5. Use AI For Brainstorming
Start with using AI models and AI tools to brainstorm business strategy.

6. Use AI For Knowledge Management
Utilize AI to enhance internal knowledge management within your business, ensuring that new employees can effectively learn about internal business workflows.

7. Use AI for Email Management
Use an AI email tool like Superhuman that speeds up inbox management with AI-powered features like instant summaries, natural language search, personalized AI email drafting, follow-up reminders, smart prioritization, one-click replies, analytics, and seamless calendar integration.

8. Use AI in Meetings
Use AI meeting note taker tools to help get meeting transcription, get notes about everything happened in the meeting, and create a to-do list based on everything discussed on the call.

9. Use AI For Marketing
Use AI to help with text content creation, video content creation, and generating images and designs to get marketing work done faster.

10. Use AI For Sales
Use tools like Hubspot's Breeze Agents, Clay, Drippi, and more to accelerate your sales workflows.

What do you think of entrepreneurs using AI to accelerate their business?
Comment below 👇 

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Steps Entrepreneurs Should Take To Work With AI

You’re not getting bad AI outputs.

You’re just having bad prompts.

These 29 actionable AI model prompting techniques fix that instantly.

1. Ask for Citations or Sources
Request references, if factual support is needed.
Example: "List three facts about polar bears with source citations."

2. Request Tables Or Matrices
For comparisons or data, ask for output in tabular form.
Example: "Show a table comparing MBA vs. MS in Computer Science."

3. Highlight Important Points
Instruct the model to emphasize or bold key info.
Example: "Summarize this topic and bold main points."

4. Use Iterative Prompting
Move through multiple exchanges to get deeper information.
Example: "Outline the process, then detail step two."

5. Feed Sample Text for Mimicry
Give a tone, voice, or structure sample to match.
Example: "Write an intro similar in tone to: 'Welcome to a new era of adventure...'"

6. Restrict Output Type
Specify what NOT to include if needed (e.g., "Don't mention prices").
Example: "Describe features of Android vs. iOS, without references to cost."

7. Switch Tone Or Style
Specify formal, casual, humorous, poetic, etc.
Example: "Rewrite this paragraph in a humorous style."

8. Ask For Summaries
Summarize large texts to save time and focus.
Example: "Summarize this 2-page article in 4 bullet points."

9. Avoid Leading Questions
Phrase neutrally to reduce bias in answers.
Example: "What are the advantages and disadvantages of solar energy?"

10. Use Delimiters For Structure
Separate different parts of your prompt for clarity (like using ### or --).
Example: "Task: Summarize; Context: Blog post; Audience: Marketers."

To know more techniques,
Check the carousel below 👇 

What other new prompting technique would you recommend to add here?
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29 AI Model Prompting Techniques

The biggest threat to your business isn’t competition.

It’s outdated thinking.

Here are 10 ChatGPT prompts to out-innovate everyone. 

1. Market Disruption Map

Prompt: I want you to act as a business innovation strategist. Analyze the [industry name] industry and identify 5 potential areas of disruption over the next 3–5 years. For each area, map out: the underlying trend, customer pain points, the technological enablers, and examples of startups or incumbents already making moves. Then, propose one original business concept we could build in this space, including its core value proposition, revenue model, and barriers to entry.

2. Blue Ocean Opportunity Finder

Prompt: Act as a strategist applying the Blue Ocean Strategy framework. For the [product/service] market, create a Four Actions Grid (eliminate, reduce, raise, create). Use this to propose at least 3 ‘blue ocean’ innovations that would differentiate us from competitors. For each idea, explain the unique value curve, target segment, and why it is difficult for competitors to replicate.

3. Business Model Reinvention Lab

Prompt: Using the Business Model Canvas, redesign our current business model for [company/product]. Show me three innovative variations: (1) a subscription-based version, (2) a platform/ecosystem model, and (3) a freemium model. For each, detail the customer segments, key partners, revenue streams, and potential risks. End by ranking them from highest to lowest based on scalability and sustainability.

4. Future Scenario Innovation Sprint

Prompt: Generate three future scenarios for the [industry] in the year 2030: optimistic, pessimistic, and disruptive. For each scenario, explain the major forces driving it (technology, regulation, consumer behavior, environment). Then, propose two innovative business opportunities that could thrive in each scenario. Present everything in a structured table format.

5. Cross-Industry Innovation Matrix

Prompt: Think like a cross-industry innovation consultant. Take successful business models from three unrelated industries ([industry A], [industry B], [industry C]) and show how elements of each could be borrowed to innovate in [my industry]. Create a matrix mapping which features can be transplanted, why they would work, and potential risks of adoption.

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ChatGPT Prompts For Business Innovation

Your competition isn’t smarter than you. 

They’re just using AI tools. 

Here are 10 AI tools that will hand marketers back their time.

What other AI tools do you use daily?
Comment below 👇 

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AI Tools To Help Marketers Get More Done In Less Time

Everyone is building AI agents right now.

Almost no one is building them safely.

And that difference will decide who breaks systems and who builds the future.

I watched a developer deploy an AI agent to automate real work:
It could open apps.
Run workflows.
Connect tools.
Execute commands.

AI agent frameworks like OpenClaw are making this possible.

AI agents can now:
• Execute tasks autonomously
• Interact with apps and APIs
• Run workflows without supervision
• Operate across messaging tools and platforms

This is why many engineers believe agent systems are the next evolution of AI.

But here is the hidden engineering problem.
When agents move from thinking → acting, mistakes stop being text.

They become real system actions.

Agents often need direct access to:
→ Files
→ APIs
→ Databases
→ SaaS apps
→ Internal tools

And that creates new attack surfaces.

Potential risks developers are already seeing:
• Prompt injection manipulating agent behavior
• Malicious tools executing unsafe commands
• Uncontrolled actions from flawed reasoning
• Runaway cost loops from automated workflows

The problem is architecture.

If agents directly control applications, 
You lose:
• Permission boundaries
• Observability
• Execution controls

That is why modern agent systems require a control layer between agents and tools.

A safer architecture looks like this:
Agent
→ Control Layer
→ Applications

This enables:
✅ Permission management
✅ Tool authentication
✅ Safe execution boundaries
✅ Controlled automation

One example of this architecture is Zapier MCP (Model Context Protocol).

Instead of letting agents call tools directly, 
MCP acts as a secure interface between AI systems and real applications.

With MCP, 
Agents can:
→ Access thousands of integrations
→ Execute actions through controlled endpoints
→ Connect tools without building custom integrations

A modern agent stack could look like:
• OpenClaw → Agent framework
• Claude → Reasoning and planning
• Zapier MCP → Controlled integrations

If you want to understand how this architecture actually works, 
There is a great webinar breaking it down.

Inside the session, you get to learn:
• The current state of AI agents
• Security best practices for agent systems
• How to safely connect agents to real tools

Hosted by:
Mike Russell
Founder, Creator Magic

Matt Brown
Marketing, Zapier

They walk through how to build secure agent systems using OpenClaw, Claude, and Zapier MCP.

If you are building AI agents right now, 
This is worth attending.

Get your premium access for free here: https://bit.ly/4sK9Arr

For the full breakdown,
Check the carousel below 👇 

Curious to hear your thoughts.
Do you think most AI agents today are being built safely?
Comment below 👇 

Also:
➕ Follow for more AI and tech insights

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#ZapierPartner

Brand partnership • AI and tech entrepreneur turning insight into impact | Ex. Co-Founder, Mindstream (acquired by HubSpot)

The Biggest Problem With AI Agents No One Is Talking

Most people think Google is just search.

But Google is quietly building one of the most powerful AI ecosystems in the world.

And if you’re not using these AI tools yet… you’re already behind.

I had a conversation with a founder who told me something interesting.
“I use AI every day.”

Naturally, I asked him which tools.

His answer?
→ ChatGPT
→ Sometimes Midjourney

That was it.

And that moment made something obvious.

Most people think AI = one chatbot.

But the real advantage comes when you start using an entire AI ecosystem.

That’s exactly where Google’s AI stack becomes insanely powerful.

I've created this breaking down 25 powerful Google AI tools you shouldn’t miss.

Because once you see how these tools connect,
You realise Google is building an AI operating system.

Here’s what that ecosystem unlocks:

1. AI chat and reasoning
→ Gemini models powering conversations and workflows

2. AI research and knowledge
→ NotebookLM turning documents into intelligent insights

3. AI development and experimentation
→ Google AI Studio for building and testing AI apps

4. AI image and video generation
→ Imagen and other generative media tools

5. AI coding assistance
→ Gemini integrated into developer workflows

6. AI infrastructure for companies
→ Vertex AI powering enterprise AI systems

7. AI productivity across Google products
→ Docs, Gmail, Sheets and Workspace powered by AI

And the result is powerful.

You move from using AI occasionally
to building AI into everything you do.

But here’s the part most people miss.

AI tools are powerful.
Yet how you use them matters more than the tool itself.

Do’s:
✅ Use AI to accelerate thinking, not replace it
✅ Combine multiple AI tools for better workflows
✅ Verify important outputs before acting on them
✅ Use AI for ideation, research, and productivity
✅ Learn prompts and context to improve results

Don’ts:
❌ Don’t blindly trust AI outputs
❌ Don’t use AI without reviewing critical details
❌ Don’t depend on one tool for everything
❌ Don’t ignore privacy when uploading data
❌ Don’t stop learning the fundamentals yourself

The biggest shift happening right now is simple.
AI is an entire ecosystem.

And Google is quietly building one of the most powerful ones.

If you want to see 25 powerful Google AI tools you should know,
Check the carousel below 👇 

Curious to hear your thoughts
What do you think about using Google’s AI tools in your daily workflow?
Drop your thoughts in the comments 👇 

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Powerful Google AI Tools

Scaling a business feels impossible? 

What if AI could hand you the roadmap? 

Here are 10 ChatGPT prompts that will help you scale your business.

1. Market Expansion Strategy Blueprint

Prompt: You are my strategic consultant. I run a [type of business: e.g., SaaS platform for small businesses] currently generating [current revenue level]. I want to expand into [new market/region/industry].
Create a step-by-step market expansion plan that includes:
a) market size analysis with data points,
b) competitor benchmarking,
c) customer personas in this new market,
d) go-to-market strategy tailored to my business model,
e) risks and mitigations, and
f) a 90-day action plan.
Format it as a structured blueprint with clear sections I can directly present to my team.

2. Customer Acquisition Playbook

Prompt: Act as a growth marketing strategist. I want to acquire [X number] of new customers in [time frame] for my [type of business]. Break down a complete customer acquisition playbook including:
a) top 5 high-ROI acquisition channels,
b) campaign ideas per channel,
c) estimated cost per acquisition benchmarks,
d) funnel structure from awareness to conversion,
e) automation workflows to reduce manual work, and
f) key metrics to track.
Provide a prioritized roadmap from quick wins to long-term sustainable strategies.

3. Pricing Model Optimization

Prompt: Act as my revenue optimization advisor. I currently charge [existing pricing model] for my product/service. Analyze and suggest optimized pricing models such as tiered pricing, freemium, value-based, or usage-based. Include competitor pricing insights, psychological pricing tactics, and A/B test ideas. Provide at least 3 alternative pricing models with pros/cons and recommend which one will maximize both revenue and customer lifetime value. Present the final output in a decision-making framework.

4. Business Process Automation Plan

Prompt: Pretend you are my operations consultant. I want to scale my business without dramatically increasing headcount. Analyze my core business processes: [list your processes like sales, onboarding, customer support, finance, etc.]. Identify areas that can be automated using AI, no-code tools, or integrations. Provide a detailed automation plan with:
a) recommended tools,
b) estimated cost savings,
c) implementation roadmap, and
d) potential risks.
Format as a 3-phase rollout plan (short-term, mid-term, long-term).

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ChatGPT Prompts That Will Help You With Scaling

Struggling with dull, robotic ChatGPT replies?

You’re not alone. Most people never touch the tone dial.

Here’s the ChatGPT tone handbook that will help you get outputs in the writing tone you want.

Pros of prompting ChatGPT to give the output in a particular tone:
👍 Ensures response matches audience expectations for clarity and engagement.
👍 Improves consistency across multiple outputs for branding or style.
👍 Helps avoid misinterpretation by guiding emotional or professional framing.
👍 Saves editing time by reducing need to rewrite tone later.
👍 Increases reader receptivity by tailoring language to context.

Dos of prompting ChatGPT to give the output in a particular tone:
✅ Ask explicitly for the desired tone like formal or casual.
✅ Include examples of the tone you want the output to mirror.
✅ Define the audience so tone matches your target reader.
✅ Use clear context and rules to reduce ambiguity.
✅ Iterate and refine prompts based on output quality.

Don’ts of prompting ChatGPT to give the output in a particular tone:
❎ Don’t be vague about tone preferences.
❎ Don’t skip examples when tone is important.
❎ Don’t assume the model knows tone without instruction.
❎ Don’t overload prompt with unrelated requests.
❎ Don’t ignore feedback and fail to adjust your prompt.

What other tones have you tried on ChatGPT?
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ChatGPT Tone Handbook

Meetings. 
Deadlines. 
Chaos. 

Sounds painful, right?

Business management doesn’t have to feel like firefighting every day.

Use these 10 ChatGPT prompts that will help you with business management.

1. Strategic Planning Framework

Prompt: Act as a strategy consultant. I run a [type of business] in the [industry] sector with [size of team]. My top three priorities are [priority 1], [priority 2], and [priority 3]. Create a 12-month strategic plan that breaks down into quarterly objectives, monthly milestones, and weekly action steps. For each stage, include measurable KPIs, potential risks, and contingency plans. Present the plan in a table format, ending with a summary of how this aligns with long-term business goals.

2. Business Model Optimization

Prompt: I operate a [B2B/B2C] business with a primary revenue stream of [describe revenue stream]. Identify weaknesses and optimization opportunities in my current business model using the Business Model Canvas framework. For each element (value proposition, customer segments, channels, customer relationships, revenue streams, key activities, key resources, key partners, and cost structure), give a SWOT-style analysis, followed by practical recommendations to improve efficiency and profitability.

3. Leadership and Team Development Playbook

Prompt: As a business leader managing a team of [X people] across [functions/departments], design a leadership and team development playbook. Break it down into: (1) communication routines, (2) decision-making protocols, (3) performance review structure, and (4) team motivation rituals. Include a section for scaling leadership practices as the company grows, and provide templates for feedback sessions and 1:1 check-ins.

4. Financial Health and Budgeting Guide

Prompt: Act as a financial analyst. My company generated [revenue] last year with [profit margin] profit margin and has projected expenses of [amount] this year. Create a detailed financial management guide that includes: (1) a budgeting template for fixed and variable costs, (2) cash flow forecasting for 12 months, (3) investment opportunities ranked by ROI, and (4) a cost-cutting strategy that doesn't compromise growth. End with a dashboard-style KPI summary I can track monthly.

5. Risk Management and Crisis Response Plan

Prompt: My business is in [industry], and key risks include [risk 1], [risk 2], and [risk 3]. Build a detailed risk management framework that includes: (1) a risk register with probability and impact scoring, (2) proactive prevention measures, (3) a step-by-step crisis response protocol, and (4) a communication template for staff and stakeholders during emergencies. Provide this in both narrative and checklist format for operational use.

To get more ChatGPT prompts,
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ChatGPT Prompts For Business Management

If you’re still writing tests manually, you're already behind.

AI has quietly started testing software faster than humans ever could.

In 2022, testing meant long nights writing scripts, maintaining fragile test cases, and chasing bugs across environments.

Developers would ship new features…
QA teams would scramble to keep up.
And testing slowly became the biggest bottleneck in modern software development.

That’s changing now.

AI testing agents are starting to generate, execute, and analyse tests automatically so teams can move at the speed of modern software. 

Let me explain in an easy to understand way:

• Define what needs testing
→ Start with product requirements
→ Identify critical workflows to validate

• Generate test scenarios automatically
→ AI converts requirements into structured tests
→ Natural language prompts can create test cases

• Design advanced testing workflows
→ Multi-step validations
→ Conditional logic
→ Complex assertions

• Run tests across environments
→ Web apps
→ Mobile platforms
→ APIs

• Integrate with development pipelines
→ CI/CD pipelines
→ GitHub workflows
→ Jira tracking

• Detect issues earlier
→ AI highlights failed scenarios
→ Bugs appear before production

• Adapt to UI changes
→ Auto-healing tests adjust to UI updates
→ Less maintenance for QA teams

This changes how engineering teams operate.

AI testing helps teams:
✅ Scale testing as products grow
✅ Reduce manual script writing
✅ Increase testing coverage
✅ Detect bugs earlier
✅ Ship faster without sacrificing quality 

But using AI for testing still requires discipline.

Do’s when using AI for testing:
✅ Define clear requirements before generating tests
✅ Use natural language carefully to avoid ambiguous tests
✅ Integrate testing into CI/CD pipelines
✅ Validate AI-generated scenarios before production
✅ Combine AI automation with human QA review

Don’ts when using AI for testing:
❌ Don’t blindly trust AI-generated tests
❌ Don’t ignore edge cases and rare scenarios
❌ Don’t skip manual exploratory testing entirely
❌ Don’t disconnect testing from development workflows
❌ Don’t treat AI as a replacement for QA expertise

The real shift happening right now:
Testing is becoming AI assisted infrastructure that scales with your product.

And the teams adopting it early will ship faster, safer, and more reliably.

Take a look at the carousel below 👇 
It breaks down the full AI testing workflow step by step.

Join the new era of testing with me here: https://lnkd.in/e5AjnFXx 

Curious to hear your perspective.
Do you think AI will transform software testing workflows?
Comment below and share your thoughts 👇 

#KaneAIPartner

How You Can Test Your Product Automatically

You're not busy. You're stuck in creative paralysis.

Meta won't slow down. It wasn't built to.

And your team is trapped between:

Endless creative demand. Manual uploads. Fragmented reporting. Insights that vanish between campaigns.

Everyone says they're data-driven. Almost no one actually closes the loop.

Because by the time you've stitched the data together, you're already shipping the next batch.

I've spent years building automation systems that replace manual, repetitive work. The pattern is always the same: the teams that win aren't working harder, they're compounding faster.

Creative strategy is no different.

Here's what changes that:

An AI creative agent trained on $5B+ in ad spend.

Raya from Atria AI analyzes your performance data, studies competitor creative, pulls patterns from customer reviews, and identifies why ads win.

Then she generates new variations. Gets them live without manual uploads. And applies what she learns to the next campaign automatically.

Not an assistant. An owner of the workflow.

Research? Done. Creative angles? Generated. Uploads? Live. Reports? Visual and real-time.

From 40 hours of operational grind to 4 hours of actual decision-making.

You still own the strategy. Raya owns the overhead.

The gap between teams compounding insights and teams operating manually is about to get very real.

tryatria.com

#ad

You’re using ChatGPT wrong. 

It’s not your fault. 
Everyone does. 
And it’s costing them hours. 

Here are 20 ChatGPT mistakes you must avoid before it messes up your output.

1. Ignoring Custom Instructions

Mistake: Many people ignore custom instructions in ChatGPT and hence don't get outputs the way they want.

Fix: Use custom instructions to get outputs in your preferred style from ChatGPT.

2. Ignoring Custom GPTs

Mistake: Not using custom GPTs for niche use cases and relying only on ChatGPT.

Fix: Use custom GPTs for niche use cases. For example, you can use Whimsical GPTs to create flowcharts.

3. Using Wrong Models

Mistake: You use ChatGPT 5.2 in auto mode.

Fix: Keep changing the modes and models as per your use case.

4. Being Too Vague

Mistake: Asking broad or unclear prompts.

Fix: Give specific details, context, and desired format.

5. Overloading in one Prompt

Mistake: Stuffing multiple unrelated requests into one input.

Fix: Break tasks into smaller, focused prompts.

6. Not Setting Role/Context

Mistake: Expecting expert-level answers without guidance.

Fix: Frame ChatGPT with a role (e.g., “Act as a business strategist”).

7. Skipping Examples

Mistake: Asking for structured output without samples.

Fix: Provide examples to guide the response style.

8. Expecting 100% Facts

Mistake: Assuming every output is accurate.

Fix: Verify key details with reliable sources.

9. Overtrusting numbers

Mistake: Accepting data/statistics as always correct.

Fix: Double-check figures, especially dates and financial data.

10. Not Iterating

Mistake: Giving up after one imperfect output.

Fix: Refine the prompt and ask follow-up questions.

To know more mistakes you might be making while using ChatGPT,
Check the carousel below 👇 

What other new ChatGPT hack would you recommend adding here?
Comment below 👇 

💡 Follow me for more AI and tech insights.

♻️ Repost this to help your network use ChatGPT

ChatGPT Mistakes To Avoid

The demo in this launch post is a must watch.

Replit Agent 4 shows where coding tools are heading, from assistants to agents that can actually build systems.

What’s interesting is the shift toward parallel workflows and full-stack generation in one environment.

The IDE is quickly becoming a control layer for AI builders.

Software isn’t merely technical work anymore. It’s creative.

Introducing Replit Agent 4. The first AI built for creative collaboration between humans and agents.

Design on an infinite canvas, work with your team, run parallel agents, and ship working apps, sites, slides & more.

https://lnkd.in/gUCayN4H

taplio

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Jake George

Matic Pogladic

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The Battle

Jake George

Matic Pogladic

Followers

Posts

Engagements

Likes

Performance Score.css-goub6s{font-size:var(--chakra-fontSizes-md);font-weight:500;color:var(--chakra-colors-gray-600);display:block;margin-top:var(--chakra-space-1);}Matic Pogladic's LinkedIn Performance

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